Data Science -AI/ML

Job Overview: This role is ideal for a computer science graduate with a focus on data science, who has a passion for leveraging data engineering, machine learning (ML), and artificial intelligence (AI) to transform and model data for business intelligence (BI) applications. The ideal candidate will have hands-on experience with generative AI and a solid understanding of its applications at the enterprise level.

Key Responsibilities:

• Design and implement data transformation and modeling, supporting the BI layer.
• Use ML and AI techniques within Snowflake to optimize data transformation processes, ensuring high-quality data for advanced analytics and reporting.
• Develop, deploy, and manage generative AI models, such as large language models (LLMs) and natural language processing (NLP) solutions, and integrate them into enterprise environments.
• Leverage technologies like TensorFlow and Llama for building and scaling AI models that address business needs.
• Collaborate with cross-functional teams to implement AI-driven solutions that enhance BI capabilities.
• Work with Azure AI tools and services to build and deploy scalable AI solutions, with experience in AWS AI models as a plus.
• Support and maintain existing data transformation and modeling processes, continually optimizing for performance and accuracy.

Required Skills:

• Bachelor s degree in Computer Science, Data Science, or a related field.
• 1-3 years of experience in data engineering, data science, or a related role.
• Strong programming skills in Python, with practical knowledge of frameworks like TensorFlow.
• Proficient in machine learning and AI, with experience in NLP and working with LLMs.
• Familiarity with Snowflake and experience applying ML techniques within its environment.
• Experience with generative AI tools and techniques, with a focus on LLMs and NLP applications in enterprise settings.
• Proficient with Azure AI, with familiarity in AWS AI models as a good-to-have skill.
• Ability to communicate complex technical concepts to non-technical stakeholders effectively. Qualifications

Preferred Skills:

• Experience with BI tools such as Power BI or GoodData.
• Familiarity with cloud environments, especially Azure and AWS.
• Understanding of data warehousing conc